A statistical analysis of cancer genome variation
A statistical analysis of cancer genome variation
M.A. Newton , T.R. Yeager, and C.A. Reznikoff.
First issued November 1997. Revised April 1998.
Abstract:
We consider separating signal and noise in
data measuring genetic abnormalities of cancer tumor cells.
The linked hot-cold model is introduced and fit to data from a
comparative genomic hybridization study of bladder cancer.
We analyze these data and report details of the calculation
summarized in Yeager et al. 1998.
The model-generating framework developed in Newton et al. 1998
is used to motivate the linked hot-cold model.
Keywords
Comparative genomic hybridization, deletions, instability-selection model,
linked hot-cold model, Poisson process, statistical
genetics, suppressor gene.
For ``Statistics in the Health Sciences: Genetics.''
Proceedings 1997 Summer Program at the Institute of Mathematics
and its Application, Minneapolis, MN,
Betz Halloran, Seymour Geisser, eds.
Postscript
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